---
title: "Dashboard"
output:
flexdashboard::flex_dashboard:
orientation: columns
vertical_layout: fill
source_code: embed
---
```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse)
library(p8105.datasets)
library(plotly)
```
Column {data-width=650}
-----------------------------------------------------------------------
### Chart A
```{r}
data(instacart)
instacart_aisle =
instacart %>%
group_by(aisle) %>%
summarize(total = n()) %>%
arrange(desc(total)) %>%
filter(total > 10000) %>%
mutate(aisle = fct_reorder(aisle, total)) %>%
plot_ly(x = ~aisle, y = ~total, colors = ~aisle, type = "bar", alpha = 0.5)
ggplotly(instacart_aisle)
```
Column {data-width=350}
-----------------------------------------------------------------------
### Chart B
```{r}
instacart_hour =
instacart %>%
filter(product_name %in% c("Pink Lady Apples", "Coffee Ice Cream")) %>%
group_by(product_name, order_dow) %>%
plot_ly(y = ~order_hour_of_day, color = ~product_name, type = "box", colors = "viridis")
ggplotly(instacart_hour)
```
### Chart C
```{r}
instacart_day =
instacart %>%
filter(product_name %in% c("Pink Lady Apples", "Coffee Ice Cream")) %>%
group_by(product_name, order_dow) %>%
plot_ly(x = ~order_hour_of_day, y = ~order_dow, color = ~product_name, type = "histogram")
ggplotly(instacart_day)
```